Contenu connexe Similaire à Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025 (20) Study of Next Generation In-Vehicle Infotainment System Based on Automotive 20251. IBM Confidential | Do Not Distribute © 2014 IBM Corporation
© 2015 IBM CorporationIoT Solutions, Industrial Services, Global Business Services, IBM Japan, Ltd ys
Study of Next Generation In-Vehicle
Infotainment System Based on
Automotive 2025
Yoshifumi Sakamoto
IBM Japan.
2. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Photo source : JVCKENWOOD Corporation,
2015 International CES, Las Vegas.
Digital Cockpit System specially designed for
CES in collaboration with McLaren Automotive.
Abstract - Next-generation in-vehicle infotainment system
Showing rapid growth
in functionality
and performance
1.Navigation, voice recognition and terminal
feature for cloud service providing multi-media
2.Positioning and vehicle information, and front end feature for Big Data that
collect and process information from control systems
3.Cognitive and advanced driving support system feature consists of information
provided to the driver
3. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
3
What kind of functional elements
required for SoC of next generation
IVI system?
The study will focus on examining future macro-
economic, consumer/social, ecosystem, and
technology trends and the impact executives believe
these trends will have on the global automotive
industry.
IBMs next future thought leadership
study- “Automotive 2025”
PREDICTION
4. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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Automotive 2025: Industry without borders
Engage with consumers, embrace mobility, exploit the ecosystem
5. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
About the study
250+ hours of meaningful discussion about the future of the industry
5
China
Japan
Europe
North
America
Rest of world
By region
OEMs
Analysts
New entrants
Distribution chain
Suppliers
By industry
segment
175executives
21countries
6. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Historically rigid industry boundaries are being shattered by digitally enabled
consumers, aggressive innovators to the auto ecosystem and even automotive
enterprises themselves as they work to realize the mobility requirements of 2025
6
73% of OEM executives rated mobility services as a significant area
for co-creation with consumers
73% of all executives rated collaboration with other industries as the
best opportunity for industry growth as we progress toward 2025
75% of all executives rated expect non-traditional industry
participants to have a key role in the automotive ecosystem by 2025
7. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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External
Influencers
Consumers
Ecosystem Mobility
8. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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External
Influencers
9. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
As we progress toward 2025, external forces having a direct impact on consumers will significantly increase, while
those more focused on the business will decline
9
What are the most important external forces that will impact the industry
today and in 2025
Technology progress
Globalization
Economies/markets
Sustainability
Government regulations
Consumer expectations
Corporate social responsibility
Global labor force
Personal mobility
66%
55%
68%
47% 50%
41%
37%
35%
27%
20%
10%
46%
45%
13%
11%
10%
3% 9%
2014 2025
External Influencers
10. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Compared to our Auto 2020 study, technology progress remained at the top while the next 4
showed considerable shifts
10
2008 2014 2020 20252008 2014 2020 2025
Technology
progress
Consumer
expectations
Government
regulations
2008 2014 2020 2025
66% 68%
56%
61%
46%
50%
33%
25%
55%
41%
34%
26%
2008 2014 2020 2025
Personal
mobility
22%
11%
10%
37%
Auto 2020 Study: 2008 & 2020
Auto 2025 Study: 2014 & 20255
Green – increase
Blue – decrease
External Influencers
Sustainability
2008 2014 2020 2025
35%
13%
60%
35%
11. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Three primary disruptors are causing industry boundaries to blur and even disappear
11
Expect digital
engagement
and
experiences
Can be
compelled to
co-create
products and
strategy
Taps into
intelligent
vehicle
capabilities
Creates new
offerings via
consumer-
driven
requirements
Enables new
paths to
enterprise
growth
Creates new
opportunities to
collaborate within
and outside
traditional industry
borders
External Factors
External Influencers
12. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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Consumers
13. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
The expectations of seamless, omni-channeled, and individualized experiences along with greater desires to
contribute to product and services innovation will transform the relationship consumers have with auto companies
13
Digital and social technologies compel the crowd to participate
more directly in all aspects of the enterprise’
business and offerings
The digital commerce experience consumers expect is being
driven by what they already get across other industries
Technology and lifestyle changes are driving new expectations
to buy, own and use vehicles
Consumers
14. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
The integration of devices, enriched with personal information through personas, to support the digital
lifestyle of the sophisticated consumer
14
Source: IBV Analysis
§ Integrated devices, including the vehicle
§ Aggregated information presented in easy-to-
use dashboards
§ Digital personas with personal preferences that
are transferrable between vehicles
§ Events modify how trips are configured based
their purpose
Information
•Personal
•Medical
•Multimedia
•Financial
•Lifestyle
Personas
•Mobility
•Commerce
•Communications
•Health
Events
•Commuting
•Traveling
•Shopping
•Socializing
Devices
•Smart phones
•Tablets
•Laptops
•Wearables
•Vehicles
Consumers
15. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
But automotive companies do not preform as well as leading industries with their digital relationships
with consumers
15
Source: IBV Analysis
Forrester, 2014 Consumer Experience Index, https://www.forrester.com/The+Customer+Experience+Index+2014/quickscan/-/E-RES109081
Buying
OwningUsing
Digital Relationship
• Seamless
• Personalized
• Relevant
• Intuitive
Digitally empowered
consumers
Digitally mature
enterprises
Consumers
Forrester Research’s Consumer Experience Index,
indicates that Automotive lags digitally mature
industries such as Retail and Consumer
Electronics in delivering a superior online
digital experience
83
79
68
Consumer
Electronics
Retail
Automotive
16. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
The expectations of using vehicles has transcended beyond only driving to an enhanced
experience of connected, automated, personalized and secure
16
What do you see as key
differentiators to consumers in 2025
Vehicles will become integrated part of
person’s life usage of via smart phone
and connected car features providing
personalized mobility services.
VP, Advanced Engineering, Major European Supplier
80%
68%
59%
58%
56%
Data security
and privacy
Single digital persona
across all vehicles
Automated vehicle safety
Comprehensive connected vehicle
services
Physical and digital
personalization
High
Consumers
17. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Greater expectations of companies for consumers to actively participate in the co-creation of new
programs, products and services
17
How extensive will your company use co-creation with
consumers in the following areas by 2025
Power of the crowd
•Desire of consumers to influence
•The power of many
•Thinking out of the box
•Encourages innovation and new ideas
•Not constrained by corporate culture
Consumers
63%
59%
54%
52%
45%
Mobility Services
Product Design
Marketing Campaigns
Service/Aftersales
Sales programs
To a large extent
OEMs
73%
53%
69%
58%
54%
18. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Multiple systems of engagement will be required to collaborate with the specific crowd
needed for a given situation
18
Systems of engagement must be easy, intuitive and
provide a great experience to the consumer
• Engaging and entertaining so that consumers
enjoy and are delighted by them
• Mobile and accessible anywhere and at
anytime
• Target multiple channels related to the topic
• Act and think in a similar way consumers do
and learn from the interactions
• Leverage high volumes of information
regardless of the source or format
Consumers
Mobility
services
Marketing
campaigns
Sales
Other
areas
Sales/
Aftersales
Product
Development
Automotive
Enterprises
19. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Consumer Recommendations
Embrace the wisdom of the customer
§ Learn from great consumer experiences in other industries
§ Listen widely, analyze extensively and engage quickly with consumers when opportunities arise. Target channels that
are mobile and accessible anywhere, at any time
§ Deliver intuitive, meaningful and consistent digital experiences across all consumer channels
Deliver lifestyle choices
§ Envision lifestyle choices and user experiences through journey maps
§ Develop new ownership and usage models that meet consumer expectations and create alternative revenue streams
Explore similar models in other industries.
§ Focus on in-vehicle capabilities that deliver the digital, automated and personalized experience consumers expect
Exploit your crowd
§ Collaborate with crowds to uncover new ideas.
§ Implement effective “systems of engagement” for the best results.
§ Follow up on consumer input and recognize people for their contributions and ideas that are used.
19
Consumers
20. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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Mobility
21. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Intelligent, intuitive, self-enabling vehicles provide greater personalized experiences through their ability to “take
care” of their occupants, themselves and work with others
21
Self-configuring
Personalization and
customization to environment
Self-learning
Cognitively optimizing
performance to occupants
and environment
Self-healing
Analytics and prognostics
for service and
maintenance
Self-socializing
Vehicle social networks to assist
others, utilizing the vehicle for
ancillary tasks
Self-integrating
Secure, seamless
digital integration
Self-driving
Automated and
autonomous mobility
Mobility
22. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
What vehicle innovations will become commonplace by 2025
In-vehicle cognitive learning
Vehicle digital
persona interchange
Within a brand – 78%
Within an automaker – 62%
Between automakers – 26%
Partially – 84%
Highly – 55%
Fully – 19%
Limited – 38%
Fully – 8%
Automated Autonomous
74%
Social networks for
vehicles
57%
22
Mobility
Cognitive cars will be commonplace by 2025, but self-driving cars will not.
23. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
There are new opportunities for all industry participants around the integration of intelligent vehicles
into consumer’s digital lives
23
Integrating Configuring Learning Healing Driving Socializing
Taking care of its’ occupants Taking care of itself Working with others
3rd Parties
Suppliers
OEMs
Dealers
• Integration services to link vehicles
to other devices
• Extending digital integration between
vehicle and home
• Development of personal digital
personas
• Customer profiling
• Development of vehicle digital
persona
• Predictive and prescriptive
maintenance
• Flexible maintenance execution
• Virtual simulation training of
automated and autonomous driving
• Managing pooled vehicle information
75%of executives rated the inclusion of non-traditional industry participants as the
biggest change that will affect the automotive industry by 2025
Mobility
24. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Only a small portion of the mobility ecosystem is driven by the automotive industry today with the rest
driven by the consumer
24
75%
Partners and competitors
will come…
Non-traditional industry participants
High
Consumer-driven mobility
Consumer driven
•Digital personas
•Location services
•Information services
•Digital commerce
•Concierge
•Car renting
•Car sharing
•Ride sharing
•Taxi scheduling
•Intermodal travel
solutions
•Availability alerts
•Health monitoring
•Learning services
•Office on wheels
•Entertainment
•Events
•Lifestyle
•Service
scheduling
•Vehicle tracking
•Weather
•Smart navigation
•Real-time traffic
•Parking
•Pay-as-you-go
•Automatic toll pay
Auto industry driven
Vehicle Multi-modal Ancillary
Vehicle
Centric
Driver
Convenience
Occupant
Experience
43%
…and consumers will choose
Importance of the vehicle brand beyond ownership
High
Mobility
•Safety/security
•Vehicle performance
•Vehicle diagnostics
•Intelligent driving
•EV services
25. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Personal Mobility Recommendations
25
Create an integrated, personalized in-vehicle experience
§ Assure the vehicle is active in the Internet of Things.
§ Leverage mobility personas and event-based personal data access and usage
§ Work with others to provide a consistent digital experience regardless of ownership or usage model
Reap value from intelligent vehicles
§ Use learning and automating capabilities to reduce complexity of use
§ Analyze and use diverse forms of data
§ Identify new business model and revenue-generating opportunities intelligent vehicles can enable, especially involving non-
traditional industries
Move from mobility concepts to generating revenue: Stake a claim
§ Create a separate mobility entity within your enterprise with the required support and investment to develop mobility
strategies, products and services
§ Embrace personal mobility services and extend the brand beyond the vehicle
§ Recognize non-traditional industry participants and the value they can bring to your mobility solutions
Mobility
26. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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The ecosystem
27. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Multiple strategies will be used to drive growth in the industry, especially those that
leverage new technologies and other industries
27
73%
69%
62%
59%
57%
54%
52%
41%
Significant
Collaborating with other
industries
Creating new services-based offerings
Leveraging disruptive technologies
outside the vehicle
Investing in new business
models
Creating new product categories
Forming new
JV/alliances/partnerships
Entering new markets
Targeting new customer
segments
Where do you see the best opportunities for industry
growth looking toward the year 2025
Percentage change
from Auto 2020
34%
13%
20%
-12%
-6%
-37%
7%
-13%
Ecosystem
28. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
The industry faces serious challenges in their ability to address future workforce needs, especially
those that support their growth strategies
28
Rate the ability of your company to address the following workforce
challenges on your path to 2025
56%
46%
46%
45%
45%
37%
36%
35%
Significant
Enhancement of workforce
productivity
Foster collaboration and
knowledge sharing
Talent retention within the
enterprise
Development of current and
future talent
Evaluation of performance
management and differentiation
Rapid development of workforce
skills and capabilities
Efficient management of the
talent across the enterprise
Attracting/recruiting talent from
outside the industry
Ecosystem
“Developing talent the right way is a very
challenging activity. We need new HR
policies and initiatives to bring in talent from
outside the industry.”
Director of Mobility, Major Japan OEM
Particularly important for auto
companies to improve these as they
tie directly to the top growth strategies
of working with other industries and
leveraging technologies outside the
vehicle
29. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Ecosystem recommendations
29
Partner to disrupt
§ Break down traditional barriers, seeking non-traditional partners and disruptive business models for untapped opportunities
§ Leverage technologies outside the vehicle to create high-value product and services offerings that enhance mobility and the
rest of the consumer experience
§ Re-evaluate consumer segments in terms of mobility services versus product categories to envision potential services offerings
Address workforce challenges through new ways to collaborate
§ Harness the collective intelligence of consumers, employees and partners through social tools and techniques
§ Make pervasive use of deep data analytics to empower the workforce
§ Strategically “re-skill” to meet ever-changing technology advancements, operational efficiencies and consumer expectations
Profit from ecosystem changes
§ Take advantage of change to uncover new ways to transform processes and form new relationships
§ Be accessible to non-traditional participants and quickly adapt to their culture, processes and development cycles
§ Keep a consistent consumer relationship experience with participants in your value chain — even while major disruption occurs
in both the work that is done and who does it
Ecosystem
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Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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Consumer Recommendations
Focus on in-vehicle
capabilities that deliver
the digital, automated
and personalized
experience consumers
expect
Key Recommendations
Mobility Recommendations Ecosystem recommendations
Create an integrated, personalized in-vehicle
experience
Use learning and automating capabilities to
reduce complexity of use
Analyze and use diverse forms of data
Embrace personal mobility services and
extend the brand beyond the vehicle
Leverage technologies
outside the vehicle to
create high-value
product and services
offerings that enhance
mobility and the rest of
the consumer
experience
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Features vs Key Recommendations map
Key
Recommendations/Feature
s
Digital
Multimedia
Navigation Location
based
services
Cloud
based
Service
Big data
and
analytics
self-driving
automated and
personalized in-vehicle
capabilities
Create an integrated,
personalized in-vehicle
experience
Use learning and
automating capabilities
Analyze and use diverse
forms of data
Embrace personal mobility
services
Leverage technologies
outside the vehicle
32. © 2015 IBM Corporation
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Digital Multimedia & Navigation
Photo source : QNX Software Systems ,
2012 International CES, Las Vegas.
QNX Software Systems and its partners demo
cloud-connected concept Porsche Carrera
l Cloud-based streaming services becomes mainstream.
l Cloud-based Context aware natural voice recognition is utilized for
various in-vehicle operation widely.
l Close link with smart phone like tethering, sharing multimedia
contents is utilized also.
• Personalization of in-vehicle
infotainment through web portal
• High-speed, stable and safe
connection to the Internet and in-
vehicle wireless connection.
33. © 2015 IBM Corporation
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Location based services
Photo source : QNX Software Systems ,
2012 International CES, Las Vegas.
QNX Software Systems and its partners demo
cloud-connected concept Porsche Carrera
l Simple Location based services has been already realized.
l LBS will accelerate by the improvement of cloud service in near future.
l Provider of LBS provides service.
Data as a Service
• LBS provider generated data
• Maps, POIs, road networks
• Search results
LBS Based on Cloud
User generated data
• Location history
• Photos, videos
• Search queries
34. © 2015 IBM Corporation
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• In vehicle, many kinds of data are analyzed in real-time and are converted.
• On cloud, execute real-time streaming processing and data store.
• Gateway which fitted plural communication protocol
Big data and analytics
Photo source : RENESAS ,
In-Vehicle Networking Solutions
Real-time
analysis Streaming
processing Data
conversion Compressio
n Abstraction
Security processing
• Diag data
• Image recognition data
• Voice recognition data
• Sensor Data
Cloud
• Vehicle-Centric Control data
• Driving control data
• Operation information
• Dynamic Behavior of software
• Location Data
Data
storage
Stream processing
Front end feature for Big Data
CAN
LIN
Ethernet
MOST
Gateway
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Photo source : DIMLAR AG, Mercedes-Benz S500: First
Fully Automated 100km Drive. July 11, 2014 • Driving Tips,
News
Photo source : VOLVO, 12mil driverless cars to be on the
road by 2035. Friday, 9 January 2015
Photo source : THE WASHINGTON POST, Driverless car
technology just got a huge boost. MAY 17, 2015.
Partially automated
System takes control of longitudinal and
lateral guidance in specific use case.
Permanent driver supervision required.
Highly automated
System can cope with all situations in
defined use case. Driver must always
be in position to resume control.
Fully automated
System can cope with all situations
during entire journey. No driver
supervision required.
Cognitive cars will be commonplace by 2025, but self-driving cars will not.
Who owns the responsibility for the risks of the accident?
OEM? Suppler?
Social agreement? Insurance?
Law? Penalty?
The driver must own the risks by the automated driving, probably.
• Car must evaluate risks continuously.
• Driver judge the acceptance of the evaluation result.
During automated
driving always
36. © 2015 IBM Corporation
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Cognitive and advanced driving
support system
Photo source : Volvo,
Volvo Developing Accident-Avoiding
Self-Driving Cars for the Year 2020
Photo source : Pioneer,
Head Up Displays Go Down Market, 11 Sep 2013
high-resolution digital
instrument clusters
Requires computing power. The workload
includes 3D advanced navigation and
infotainment, high-resolution digital instrument
clusters, natural speech processing, and image
processing for driver assistance.
Digital Cockpit - Man-Machine I/F
3D advanced navigation
and infotainment
High-contrast laser HUD
with AR technology
Photo source : RENESAS.
Ego-Motion(Visual odometry), 23 Jan 2015
Requires powerful and low-power Cognitive engine.
-Smart Cameras, Radar, Lidar, Ultra Sonic,
V2V(Vehicle-to-vehicle), V2I(vehicle to infrastructure)
Cognitive Engine
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In-Vehicle infotainment System Platform
In-vehicle
Security
& Privacy
hardware assist – ex. EVITA light/medium/full k-Anonymity / l-diversification / Differential Privacy / adversarial privacy
Telematics platform Service platform
In-vehicle infotainment
Vehicle centric controlCognitive Engine
Location based services
Data as a Service
B2B Service
Business Analytics
Service Provider
Personalization
Apps. And web portal
Business
Analytics
Big data
Streaming Processing
Automated Drive
Real-time
Vehicle
Analytics
• Vehicle-Centric Control data
• Driving control data
• Operation information
• Dynamic Behavior of software
• Location Data etc.
• Vehicle-Centric Control data
• Driving control data
• Dynamic Behavior of software
etc.
• Cognitive
• Driving plan and monitoring
• Risk assessment / treatment
• Smart Cameras
• Radar
• Lidar
• Ultra Sonic
• V2V(Vehicle-to-vehicle)
• V2I(vehicle to infrastructure)
• next-generation integration ctl.
• Engine
• Brake
• Motor
• Battery
• Air bug / Pre-Crash safety
• The Internet and in-vehicle wireless connection
• Personalization
• LBS services data generation
• Front end feature for Big Data
• Partially or High automated self-driving
• Digital cockpit
• High abstracted interface gateway to Vehicle centric control
• High speed video stream gateway or X-Bar
• Digital audio & Video – Streaming service
• Navigation
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Autonomous or Cooperative
Autonomous Cooperative
• High speed internet connection
• High-definition map data
Luxury car
Luxury car
• V2V(Vehicle-to-vehicle)
• V2I(vehicle to infrastructure)
Personal mobility
• low speed internet connection
• low-definition map data
Photo source : AUDI, Audi R8 proto type
Photo source TOYOTA,
i-ROAD, TOYOTA DESIGN
In suburbs In urban areas
In-vehicle Telematics platform
In-vehicle infotainment
Vehicle centric controlCognitive Engine
Business
Analytics
Big data
Streaming Processing
Automated Drive
Real-time
Vehicle
Analytics
• Vehicle-Centric Control data
• Driving control data
• Operation information
• Dynamic Behavior of software
• Location Data etc.
• Vehicle-Centric Control data
• Driving control data
• Dynamic Behavior of software
etc.
• Smart Cameras
• Radar
• Lidar
• Ultra Sonic
• V2V(Vehicle-to-vehicle)
• V2I(vehicle to infrastructure)
• Integrity control
• Engine
• Brake
• Motor
• Battery
• Air bug
• Pre-Crash safety
• Internet and in-vehicle wireless connection
• Personalization
• LBS services data generation
• Front end Front end feature for Big Data
• Partially or High automated self-driving
• Digital cockpit
• High abstracted interface gateway to Vehicle centric control
• High speed video stream gateway or X-Bar
• Digital audio & Video – Streaming service
• Navigation
• Cognitive
• Driving plan and monitoring
• Risk assessment / treatment
In-vehicle Telematics platform
In-vehicle infotainment
Vehicle
centric
control
Cognitive
Engine
Business
Analytics
Big data
Streaming Processing
Automated Drive
Real-time
Vehicle
Analytics
• Driving control data
• Operation information
• Location Data etc.
• Vehicle-Centric Control data
• Driving control data
• Dynamic Behavior of software
etc.
• Smart Cameras
• Radar
• V2V
• V2I
• Brake
• Motor
• Battery
• Air bug
• Internet wireless connection
• High automated self-driving
• Digital audio – Streaming service
• Navigation
• Cognitive
• Driving plan and monitoring
• Risk assessment / treatment
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SoC feature for In-Vehicle Infotainment System
Graphics, Multimedia and Navigation
2D/3D Graphic
Digital
Audio/Video Navi
GNSS
In-Vehicle Interconnection gateway
Power Train Chassis & Safety
Energy Mgmt.
Body
Other Vehicle
Road side
device
Camera
Microphone
Radar
Lidar
Ultrasonic
Ethernet/CAN/LIN Transceiver
Integration ctl. MPU
Sensor
Network I/F
V2V
V2I
GNSS
LTE
HUD
Front
Monitor
Digital Meter clusters
Front-end
feature
for big data
CameraCamera
advanced
driving
support
System
&
Autonomous
Cognitive
Engine
Camera & Sensor
I/F Security(AES/SHA 256b)
Risk evaluation
Dynamic Power
controller
On-chip
trace
Rear
Monitor
High-performance
Low-power consumption
Improvement in dependability
Over 10TOPS(10TFLOPS)
Under 20Wh
Dynamic behavior monitoring
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Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
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Risks assessment for automated driving
Recognition Perception Prediction Decision Action
Comparison
Hazard
Scenarios
Cloud high-speed search
High-speed template matching
Estimate
influence and
damage
Estimate
influence and
damage
Estimate
influence and
damage
Estimate
influence and
damage
Situation data
of accident
Risk ranking
Validate
Driver Judge
Low risk
High risk
• Range where the
influence of the
risk extends to.
• Estimate damage
when an accident
occurs.
• Car must evaluate risks continuously.
• Driver judge the acceptance of the evaluation result.
Still in the concept stage
Risk evaluation during the time of the automated driving becomes
the key position of the big data services for vehicle.
41. © 2015 IBM Corporation
IBM Institute for Business Value
Conclusion - Prepared for the future?
41
Based on everything we have covered today, how prepared is your
company to face the challenges on the way to 2025?
19%
How adaptable is your company to face the challenges on
the way to 2025?
Prepared
33%
Adaptable
Suppliers - 13%
OEMs - 23%
OEMs - 30%
Suppliers - 33%
42. © 2015 IBM Corporation
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
42
Thank you for
your attention